Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

被引:13
作者
Alabdulatif, Abdullah [1 ]
Thilakarathne, Navod Neranjan [2 ]
机构
[1] Qassim Univ, Coll Sci & Arts Al Rass, Dept Comp, Al Rass 720223, Saudi Arabia
[2] Univ Colombo, Fac Technol, Dept ICT, Colombo 00700, Sri Lanka
关键词
IoT; Internet of Things; bio-inspired IoT; bio-inspired computation; bio-inspired algorithms; artificial intelligence; cyber-security; optimization; wireless sensor network; SENSOR NETWORKS; ALGORITHM;
D O I
10.3390/biomimetics8040373
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
There is no doubt that the involvement of the Internet of Things (IoT) in our daily lives has changed the way we live and interact as a global community, as IoT enables intercommunication of digital objects around us, creating a pervasive environment. As of now, this IoT is found in almost every domain that is vital for human survival, such as agriculture, medical care, transportation, the military, and so on. Day by day, various IoT solutions are introduced to the market by manufacturers towards making our life easier and more comfortable. On the other hand, even though IoT now holds a key place in our lives, the IoT ecosystem has various limitations in efficiency, scalability, and adaptability. As such, biomimicry, which involves imitating the systems found in nature within human-made systems, appeared to be a potential remedy to overcome such challenges pertaining to IoT, which can also be referred to as bio-inspired IoT. In the simplest terms, bio-inspired IoT combines nature-inspired principles and IoT to create more efficient and adaptive IoT solutions, that can overcome most of the inherent challenges pertaining to traditional IoT. It is based on the idea that nature has already solved many challenging problems and that, by studying and mimicking biological systems, we might develop better IoT systems. As of now, this concept of bio-inspired IoT is applied to various fields such as medical care, transportation, cyber-security, agriculture, and so on. However, it is noted that only a few studies have been carried out on this new concept, explaining how these bio-inspired concepts are integrated with IoT. Thus, to fill in the gap, in this study, we provide a brief review of bio-inspired IoT, highlighting how it came into play, its ecosystem, its latest status, benefits, challenges, and future directions.
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页数:29
相关论文
共 79 条
[1]  
Abualigah Laith, 2023, Comput Intell Neurosci, V2023, P4254194, DOI 10.1155/2023/4254194
[2]   Bio-inspired clustering scheme for Internet of Drones application in industrial wireless sensor network [J].
Aftab, Farooq ;
Khan, Ali ;
Zhang, Zhongshan .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2019, 15 (11)
[3]   A bio-inspired clustering in mobile adhoc networks for internet of things based on honey bee and genetic algorithm [J].
Ahmad, Masood ;
Hameed, Abdul ;
Ullah, Fasee ;
Wahid, Ishtiaq ;
Rehman, Saeed Ur ;
Khattak, Hasan Ali .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (11) :4347-4361
[5]   Swarm Intelligence in Internet of Medical Things: A Review [J].
Alizadehsani, Roohallah ;
Roshanzamir, Mohamad ;
Izadi, Navid Hoseini ;
Gravina, Raffaele ;
Kabir, H. M. Dipu ;
Nahavandi, Darius ;
Alinejad-Rokny, Hamid ;
Khosravi, Abbas ;
Acharya, U. Rajendra ;
Nahavandi, Saeid ;
Fortino, Giancarlo .
SENSORS, 2023, 23 (03)
[6]  
Allied Market Research, IOT SENSORS MARKET S
[7]   AI-assisted bio-inspired algorithm for secure IoT communication networks [J].
Alroobaea, Roobaea ;
Arul, Rajakumar ;
Rubaiee, Saeed ;
Alharithi, Fahd S. ;
Tariq, Usman ;
Fan, Xincan .
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2022, 25 (03) :1805-1816
[8]  
[Anonymous], 2001, MENTAL HLTH CALL ACT, P1, DOI DOI 10.1016/B978-0-7506-0898-5.50011-0
[9]   Reviewing Bioinspired Technologies for Future Trends: A Complex Systems Point of View [J].
Arena, Paolo ;
Bucolo, Maide ;
Buscarino, Arturo ;
Fortuna, Luigi ;
Frasca, Mattia .
FRONTIERS IN PHYSICS, 2021, 9
[10]   A New Bio-Inspired for Cooperative Data Transmission of IoT [J].
Aripriharta ;
Hao, Wang Zhi ;
Muladi ;
Horng, Gwo-Jiun ;
Jong, Gwo-Jia .
IEEE ACCESS, 2020, 8 :161884-161893